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Updated: Dec 8, 2025

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

Genetic correlations and ecological networks shape coevolving mutualisms.

Ana Paula A Assis¹, John N Thompson², Pamela Cristina Santana¹

¹Departamento de Ecologia, Universidade de São Paulo, São Paulo, Brazil.

Ecology Letters

|September 24, 2020

Summary

This summary is machine-generated.

Genetic correlations influence species coevolution, impacting trait evolution and population dynamics. These genetic links can drive species divergence, but community structure may buffer these effects.

Keywords:

coadaptation geographic mosaic of coevolution mutualistic networks species interactions trait matching

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Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

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Area of Science:

Integrates quantitative genetics, coevolutionary theory, and network science to study ecological interactions.
Focuses on the evolution of multiple species traits within populations and across communities.

Background:

Ecological interactions drive the evolution of species traits, which are often genetically correlated.
Genetic correlations link traits, influencing their evolutionary trajectories under partner-imposed selection.

Discussion:

Genetic correlations can dictate the speed of coevolutionary change and affect species abundances.
These correlations can promote trait divergence among populations of the same species.

Key Insights:

Trait divergence driven by genetic correlations is partially mitigated by the nested structure of species-rich mutualisms.
Coevolutionary outcomes arise from complex interactions between genetic correlations and community structure.

Outlook:

Highlights how coevolutionary processes and their ecological impacts involve conflicting dynamics across multiple organizational levels, from genes to entire communities.
Suggests future research directions in understanding the interplay of genetic architecture and community ecology in shaping biodiversity.